Velaura AI
AI Systems Architect (Models & Hardware Co-Design)
$200K–$300K
Santa Clara, CA +2 · On-site · Full-time · Posted Jul 16, 2026
- Location
- Santa Clara, CA
Austin, TX
Boston, MA
About the job
Works across AI models, algorithms, and hardware architecture to guide model selection and translate workload requirements into efficient compute-platform designs.
What you'll do
- Analyze AI architectures and training/inference requirements to assess computational and system needs.
- Work with hardware teams to translate model requirements into efficient silicon implementations and optimize models, algorithms, or dataflows.
- Develop performance and efficiency models and collaborate across software and hardware teams to support deployment on new platforms.
What they ask for
- Strong understanding of modern machine learning architectures, including transformers and related model families.
- Solid grounding in machine learning mathematics, optimization, and deep learning algorithms.
- Experience with ML frameworks such as PyTorch, JAX, or TensorFlow.
- Ability to analyze model computation graphs and translate them into efficient dataflows and compute patterns; experience with AI training and inference workflows.
Nice to have
- Experience with hardware–software co-design or AI accelerator architecture.
- Familiarity with model optimization techniques such as quantization, sparsity, pruning, or distillation.
Pay
USD 200,000–300,000 (per-year-salary)
Tools
PyTorch, JAX, TensorFlow
AI focus
AI model and hardware co-design, including evaluating architectures, training and inference characteristics, workload suitability, and model or dataflow optimization for efficient hardware implementation.
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